{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "njeOeVr-dYCE"
   },
   "source": [
    "* Updated to GDS 2.0 version\n",
    "* Link to original blog post: https://towardsdatascience.com/twitchverse-using-fastrp-embeddings-for-a-node-classification-task-bb8d34aa690\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "kBNF9RMMdWbW"
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.manifold import TSNE\n",
    "from neo4j import GraphDatabase\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "from sklearn.metrics import classification_report, confusion_matrix, f1_score\n",
    "import numpy as np\n",
    "\n",
    "sns.set(font_scale = 1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "k3W80i5odWba"
   },
   "outputs": [],
   "source": [
    "# Connect to Neo4j\n",
    "driver = GraphDatabase.driver('bolt://localhost:7687', auth=('neo4j', 'letmein'))\n",
    "\n",
    "def read_query(query):\n",
    "    with driver.session() as session:\n",
    "        result = session.run(query)\n",
    "        return pd.DataFrame([r.values() for r in result], columns=result.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6ZF07J9ddWba"
   },
   "source": [
    "# Agenda\n",
    "In this blog post, I present how I used FastRP, a node embedding algorithm, as an input to an ML classifier. The idea is to predict the language in which a streamer is broadcasting based on the co-chatting network. We will assume that if a user is chatting in multiple streams, there is a high probability that those streamers broadcast in the same language. Then we will use FastRP embeddings to engineer features for our classification model. On a high level, this post can be split into the following steps:\n",
    "* Data cleaning\n",
    "* Infer co-chatting network\n",
    "* FastRP embeddings\n",
    "* Evaluate classification accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2HdGijdldWbc"
   },
   "source": [
    "# Data cleaning\n",
    "We will start by exploring the dataset a bit. Let's first inspect the languages and how many streamers use them in their broadcast."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "7mEsAO4GdWbd",
    "outputId": "61259182-bf4d-4b0c-8533-3ed81fa48b38"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>language</th>\n",
       "      <th>numberOfStreams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>en</td>\n",
       "      <td>1867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>es</td>\n",
       "      <td>347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>de</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ru</td>\n",
       "      <td>280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>fr</td>\n",
       "      <td>276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ko</td>\n",
       "      <td>266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pt-br</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>en-gb</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>it</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>tr</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>zh-tw</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pl</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ja</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>es-mx</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>th</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>nl</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>cs</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>hu</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>sv</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>pt</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>da</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>fi</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ar</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>sk</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>no</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>el</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>zh-cn</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>bg</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   language  numberOfStreams\n",
       "0        en             1867\n",
       "1        es              347\n",
       "2        de              303\n",
       "3        ru              280\n",
       "4        fr              276\n",
       "5        ko              266\n",
       "6     pt-br              208\n",
       "7     en-gb              176\n",
       "8        it              146\n",
       "9        tr              139\n",
       "10    zh-tw              112\n",
       "11       pl               88\n",
       "12       ja               77\n",
       "13    es-mx               57\n",
       "14       th               27\n",
       "15       nl               27\n",
       "16       cs               26\n",
       "17       hu               25\n",
       "18       sv               23\n",
       "19       pt               17\n",
       "20       da               15\n",
       "21       fi               11\n",
       "22       ar               10\n",
       "23       sk                5\n",
       "24       no                4\n",
       "25       el                3\n",
       "26    zh-cn                3\n",
       "27                         2\n",
       "28       bg                1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "MATCH (l:Language)\n",
    "RETURN l.name as language,\n",
    "       count{ (l)<--() } as numberOfStreams\n",
    "ORDER BY numberOfStreams\n",
    "DESC\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Fnkt9gtbdWbf"
   },
   "source": [
    "There is a total of 30 different languages in our graph. We have to exclude some of the languages in our classification task due to their small sample size. I have decided to exclude all the languages that have fewer than 100 streamers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Iy1RyIRrdWbg",
    "outputId": "beca96f2-14aa-4446-e9cf-bdb4e8dcb91b"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>success</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    result\n",
       "0  success"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "MATCH (l:Language)\n",
    "WHERE count{ (l)<--() } < 100\n",
    "MATCH (l)<--(streamer)\n",
    "SET streamer:Exclude\n",
    "RETURN distinct 'success' as result\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "d29VXDs4dWbh"
   },
   "source": [
    "Next, we will check to see if any of the streamers broadcast in more than a single language."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "w1GpYVh8dWbh",
    "outputId": "6756d332-f71e-4dd2-9747-4ed3c2bd0b2d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>streamer</th>\n",
       "      <th>languages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gige</td>\n",
       "      <td>[hu, en]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  streamer languages\n",
       "0     gige  [hu, en]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "MATCH (s:Stream)\n",
    "WHERE count{ (s)-[:HAS_LANGUAGE]->() } > 1\n",
    "MATCH (s)-[:HAS_LANGUAGE]->(l)\n",
    "RETURN s.name as streamer, collect(l.name) as languages\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VS7vKcSjdWbi"
   },
   "source": [
    "There is only one streamer who has assigned more than a single language. Gige broadcasts in English and Hungary languages. We have excluded all the languages with less than 100 streamers, which Hungary falls into, so we will ignore Gige in our further analysis.\n",
    "Now, we will look at the users in our knowledge graph. It makes sense to plot the node out-degree distribution. The out-degree, in this case, informs us about the count of streams a user chatted in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "_I5HVTkkdWbj",
    "outputId": "4c901120-22a5-4066-eb4d-117c79e961d8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = read_query(\"\"\"\n",
    "MATCH (u:User)\n",
    "WHERE NOT u:Exclude\n",
    "WITH u, count{ (u)-[:CHATTER|VIP|MODERATOR]->() } as node_outdegree\n",
    "RETURN node_outdegree, count(*) as count_of_users\n",
    "ORDER BY node_outdegree ASC\"\"\")\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(16,9))\n",
    "ax = sns.lineplot(x=\"node_outdegree\", y=\"count_of_users\", data=data, color=\"blue\")\n",
    "ax.set_yscale(\"log\")\n",
    "ax.set_xscale(\"log\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0X50B38ldWbj"
   },
   "source": [
    "There are around 5000 streamers in our database, so the maximum possible out-degree is 5000. The data was fetched over a period of three days. I would venture a guess that users who chatted in more than 1000 streams are highly likely to be bots. I chose 200 to be the actual threshold, so users who have talked in more than 200 streams over three days will be ignored. I think that even that is generous. You would have to chat in more than 60 streams per day to achieve this threshold."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "pwVLRg5-dWbk",
    "outputId": "e025595b-cc50-40ff-fae2-ff546ebb62ca"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: []"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "MATCH (u:User)\n",
    "WHERE NOT u:Exclude\n",
    "WITH u, count{ (u)-[:CHATTER|VIP|MODERATOR]->() } as node_outdegree\n",
    "WHERE node_outdegree > 200\n",
    "SET u:Exclude\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vE8-LnP-dWbk"
   },
   "source": [
    "It is also highly likely that the most active moderators are actually bots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "OQxlQp9vdWbl"
   },
   "outputs": [],
   "source": [
    "# Just check moderators for some additional bots\n",
    "read_query(\"\"\"\n",
    "MATCH (u:User)\n",
    "WHERE NOT u:Exclude\n",
    "RETURN u.name as user, count{ (u)-[:MODERATOR]->() } as mod_count\n",
    "ORDER BY mod_count DESC LIMIT 50\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1hk3uoQydWbl"
   },
   "source": [
    "Seems my hypothesis was valid. Most of the highly active moderators have a bot in their name. We will also exclude moderators who have participated in more than 10 streams over the three days the data was fetched."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "3MTIYJQOdWbl",
    "outputId": "6ba7ead3-065a-4199-e67f-c438b1dd7d21"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [result]\n",
       "Index: []"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Exclude users who moderate more than 10 channels\n",
    "read_query(\"\"\"\n",
    "MATCH (u:User)\n",
    "WHERE NOT u:Exclude\n",
    "WITH u, count{ (u)-[:MODERATOR]->() } as mod_count\n",
    "WHERE mod_count > 10\n",
    "SET u:Exclude\n",
    "RETURN distinct 'success' as result\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gcrHMsQsdWbm"
   },
   "source": [
    "# Train - test split\n",
    "\n",
    "Before we do the train-test data split, let's quickly refresh how many data points per language there are."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wdJy8KOedWbm",
    "outputId": "8221d891-f29b-4f07-e843-d4941456b424"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>language</th>\n",
       "      <th>count(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>en</td>\n",
       "      <td>1659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>en-gb</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>fr</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>it</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ko</td>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ru</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>es</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>de</td>\n",
       "      <td>272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>zh-tw</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pt-br</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>tr</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   language  count(*)\n",
       "0        en      1659\n",
       "1     en-gb       157\n",
       "2        fr       244\n",
       "3        it       137\n",
       "4        ko       238\n",
       "5        ru       244\n",
       "6        es       300\n",
       "7        de       272\n",
       "8     zh-tw       102\n",
       "9     pt-br       181\n",
       "10       tr       111"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "MATCH (l:Language)<-[:HAS_LANGUAGE]-(s:Stream)\n",
    "WHERE NOT s:Exclude\n",
    "RETURN l.name as language, count(*)\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "673w_psWdWbm"
   },
   "source": [
    "By far, the most frequent language is English. Next, there are Spanish, German, and Russian. For some reason, Twitch decided to distinguish between English and United Kingdom English. We will not make that differentiation in our classification task and treat both of them as the same. Instead, we will write the language as the node property, combining English and UK English into a single category."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "lCOCoCv0dWbm",
    "outputId": "fd577446-ed73-4d82-f2fa-d60a5daf19a3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: []"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "MATCH (s:Stream)-[:HAS_LANGUAGE]->(l:Language)\n",
    "WHERE NOT s:Exclude\n",
    "SET s.language = CASE WHEN l.name = 'en-gb' THEN 'en' ELSE l.name END\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "d4RoDgIkdWbn"
   },
   "source": [
    "We will use 80% of the data points per language as the training set and leave the other 20% for testing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ueFtQPqgdWbn",
    "outputId": "1a2ed79f-bc00-4250-a322-daa26a23e49e"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: []"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "MATCH (s:Stream)\n",
    "WHERE NOT s:Exclude\n",
    "WITH s.language as language, s\n",
    "ORDER BY s.name\n",
    "WITH language, count(*) as count, collect(s) as streamers\n",
    "WITH language, streamers, toInteger(count * 0.8) as training_size\n",
    "UNWIND streamers[..training_size] as train_data\n",
    "SET train_data:Train\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "y3FGtaIfdWbn"
   },
   "source": [
    "I have added the order by name line for easier reproducibility. Of course, you can use any random function to split the train-test dataset if you want."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Si_-utwDdWbo"
   },
   "source": [
    "# Infer co-chatter network\n",
    "\n",
    "We have two options to project an in-memory graph. Here, we will use the Cypher projection feature. Cypher projection is the more flexible way of projecting an in-memory graph but comes with a small loading performance cost. I have written an exhaustive blog about using Cypher projections, but for now, it is enough to know that we use the first Cypher statement to project nodes and the second Cypher statement to project the relationships of the in-memory graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "5d8xK_5AdWbo",
    "outputId": "c465c9e5-2fa7-4295-cdbc-1504beb31b59"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nodeQuery</th>\n",
       "      <th>relationshipQuery</th>\n",
       "      <th>graphName</th>\n",
       "      <th>nodeCount</th>\n",
       "      <th>relationshipCount</th>\n",
       "      <th>createMillis</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MATCH (u:User) WHERE NOT u:Exclude RETURN id(u...</td>\n",
       "      <td>MATCH (s:User)--&gt;(t:Stream)\\n WHERE NOT s:Excl...</td>\n",
       "      <td>twitch</td>\n",
       "      <td>4271897</td>\n",
       "      <td>7647926</td>\n",
       "      <td>19017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           nodeQuery  \\\n",
       "0  MATCH (u:User) WHERE NOT u:Exclude RETURN id(u...   \n",
       "\n",
       "                                   relationshipQuery graphName  nodeCount  \\\n",
       "0  MATCH (s:User)-->(t:Stream)\\n WHERE NOT s:Excl...    twitch    4271897   \n",
       "\n",
       "   relationshipCount  createMillis  \n",
       "0            7647926         19017  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.graph.project.cypher(\"twitch\",\n",
    "\"MATCH (u:User) WHERE NOT u:Exclude RETURN id(u) as id, labels(u) as labels, coalesce(u.followers,0) as followers, coalesce(u.total_view_count,0) as total_view_count\",\n",
    "\"MATCH (s:User)-->(t:Stream)\n",
    " WHERE NOT s:Exclude AND NOT t:Exclude\n",
    " RETURN id(t) as source, id(s) as target\",\n",
    "{validateRelationships:false})\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "h6qzPpM-dWbo"
   },
   "source": [
    "In the first statement, we have projected all the User nodes that weren't tagged with Exclude secondary label. Adding the labels of the nodes allows us to filter nodes at algorithm execution time. This will enable us to filter only Stream nodes when calculating FastRP embeddings. We have also included the follower and total_view_count node properties. In the second statement, we project all the relationships between users and streamers. Those relationships indicate which users have chatted in a specific streamer's broadcast.\n",
    "To infer the co-chatting network between streamers, we will use the Node Similarity algorithm. Node Similarity algorithm uses the Jaccard similarity score to compare how similar a pair of nodes is based on the number of shared chatters.\n",
    "\n",
    "As mentioned, the more common chatters a pair of streamers have, the more we will deem them similar. We will name the resulting relationship SHARED_AUDIENCE, which is precisely what we are doing in this case, evaluating shared audiences of streamers. The Node Similarity algorithm has two very important hyper-parameters that need to be tuned:\n",
    "* TopK: Number of stored relationships for a node. The top K relationships by similarity score will be stored.\n",
    "* SimilarityCutoff: Lower limit for the similarity score to be present in the result. Any relationships with a score lower than the similarityCutoff will be automatically ignored in results.\n",
    "\n",
    "I always like to start by first evaluating the similarity score distribution using the stats mode of the algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "2SB3zTCJdWbo",
    "outputId": "f871182f-7485-493a-f0e2-a884fe6d1d4a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'p1': 0.0005675404972862452,\n",
       "  'max': 1.0000076293654274,\n",
       "  'p5': 0.002954214782221243,\n",
       "  'p90': 0.058524370164377615,\n",
       "  'p50': 0.014385879010660574,\n",
       "  'p95': 0.08700561520527117,\n",
       "  'p10': 0.004273533792002127,\n",
       "  'p75': 0.030665039987070486,\n",
       "  'p99': 0.189642906159861,\n",
       "  'p25': 0.007166147202951834,\n",
       "  'p100': 1.0000076293654274,\n",
       "  'min': 5.443114787340164e-06,\n",
       "  'mean': 0.02655834522612726,\n",
       "  'stdDev': 0.040834074257494656}]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.nodeSimilarity.stats(\"twitch\", {similarityMetric:'Jaccard'})\n",
    "\"\"\")['similarityDistribution'].to_list()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LryJshtkdWbp"
   },
   "source": [
    "We get the distribution in the form of percentile values. On average, a pair of streamers share around 3% of users. Only 10% of streamers share more than 6% of users. On average, streamers don't share a lot of their audience. This is probably skewed a bit because the data was retrieved only over 3 days, and only the users who have engaged in the chat are considered. We will leave the similarityCutoff parameter at the default value of 1E-42, which is a very tiny number, but slightly bigger than 0. Relationships will be considered between a pair of streamers when they share at least one user. Now, we have to decide on the topK value. The topK parameter heavily influences how dense or sparse will the resulting monopartite projection be. With a bit of trial and error, I have decided to use the topK value of 25."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "dXD13mb_dWbp",
    "outputId": "e8845828-3dea-472b-e5ba-202dd0338bf1"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>createMillis</th>\n",
       "      <th>computeMillis</th>\n",
       "      <th>mutateMillis</th>\n",
       "      <th>postProcessingMillis</th>\n",
       "      <th>nodesCompared</th>\n",
       "      <th>relationshipsWritten</th>\n",
       "      <th>similarityDistribution</th>\n",
       "      <th>configuration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>55905</td>\n",
       "      <td>172</td>\n",
       "      <td>-1</td>\n",
       "      <td>4105</td>\n",
       "      <td>101009</td>\n",
       "      <td>{'p1': 0.0003668386198114604, 'max': 1.0000076...</td>\n",
       "      <td>{'topK': 25, 'bottomK': 10, 'bottomN': 0, 'rel...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   createMillis  computeMillis  mutateMillis  postProcessingMillis  \\\n",
       "0             1          55905           172                    -1   \n",
       "\n",
       "   nodesCompared  relationshipsWritten  \\\n",
       "0           4105                101009   \n",
       "\n",
       "                              similarityDistribution  \\\n",
       "0  {'p1': 0.0003668386198114604, 'max': 1.0000076...   \n",
       "\n",
       "                                       configuration  \n",
       "0  {'topK': 25, 'bottomK': 10, 'bottomN': 0, 'rel...  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.nodeSimilarity.mutate(\"twitch\", \n",
    "  {topK:25, mutateProperty:'score', mutateRelationshipType:'SHARED_AUDIENCE', similarityMetric: 'Jaccard'})\n",
    "\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bRLPLwFkdWbp"
   },
   "source": [
    "# FastRP embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "NcvAnT7ldWbp"
   },
   "outputs": [],
   "source": [
    "def tsne(query, hue):\n",
    "    embeddings = read_query(query)\n",
    "\n",
    "    tsne = TSNE(n_components=2, n_iter=300)\n",
    "    tsne_results = tsne.fit_transform(embeddings['embedding'].to_list())\n",
    "\n",
    "    embeddings['tsne_x'] = [x[0] for x in list(tsne_results)]\n",
    "    embeddings['tsne_y'] = [x[1] for x in list(tsne_results)]\n",
    "\n",
    "    plt.figure(figsize=(16,10))\n",
    "    sns.scatterplot(\n",
    "        x=\"tsne_x\", y=\"tsne_y\",\n",
    "        hue=hue,\n",
    "        palette=sns.color_palette(\"hls\", 10),\n",
    "        data=embeddings,\n",
    "        legend=\"full\",\n",
    "        alpha=0.9\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HBNk15ytdWbp"
   },
   "source": [
    "Node embedding algorithms calculate a fixed-size vector or embedding representation of a node in a graph. This is very useful when we want to use the network features in our downstream machine learning workflow.\n",
    "We can easily retrieve FastRP embeddings of nodes by using the following Cypher query."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "PPTSkqvSdWbq",
    "outputId": "839b3d7d-46ad-4f2d-9a98-11aedc8e058a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne(\"\"\"\n",
    "CALL gds.fastRP.stream(\n",
    "  \"twitch\",\n",
    "  {nodeLabels:['Stream'], relationshipTypes:['SHARED_AUDIENCE'],\n",
    "   relationshipWeightProperty:'score', embeddingDimension: 64}\n",
    ") YIELD nodeId, embedding\n",
    "WITH gds.util.asNode(nodeId) as node, nodeId, embedding\n",
    "RETURN nodeId, embedding, node.language as language\n",
    "\"\"\", \"language\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "l_w21alBdWbq"
   },
   "source": [
    "The data points are colored based on their language. Just by looking at the scatter plot, it is evident that the node embeddings capture the language of the stream quite well. It seems that only the English language is a bit all over the place, while other minor languages form lovely clusters.\n",
    "# Classification task evaluation\n",
    "Finally, let's examine how well we can predict broadcast language based on the FastRP embeddings. We have already done the train-test split in the previous step, so the only thing left to do is to export those embeddings and input them into a classification model. We will use the Random Forest classifier in this example. I prepared a helper function that will take in a cypher query and return a classification report and confusion matrix as the output."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "oQu54dJhdWbq"
   },
   "outputs": [],
   "source": [
    "def evaluate(y_true,y_pred):\n",
    "  labels = set(y_true)\n",
    "  print(\"Overall f1 score: {}\".format(f1_score(y_true, \n",
    "               y_pred, average=\"micro\")))\n",
    "  print(classification_report(y_true,y_pred))\n",
    "  cm = confusion_matrix(y_true,y_pred)\n",
    "  cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "  cmat = pd.DataFrame(cm)\n",
    "  cmat.columns = labels\n",
    "  fig, ax = plt.subplots(figsize=(16,9))\n",
    "  #cmat.set_index([pd.Index(labels, '')],inplace=True)\n",
    "  ax = sns.heatmap(cmat,cmap=\"YlGnBu\", annot=True)\n",
    "  plt.title(\"Confusion Matrix\")\n",
    "\n",
    "def classify_and_evaluate(query):\n",
    "    embeddings = read_query(query)\n",
    "\n",
    "    embeddings['output'] = pd.factorize(embeddings['language'])[0]\n",
    "    train_data = embeddings[embeddings['split'] == 'train']\n",
    "    test_data = embeddings[embeddings['split'] == 'test']\n",
    "    rf_classifier = RandomForestClassifier()\n",
    "    rf_classifier.fit(train_data['embedding'].to_list(), train_data['output'].to_list())\n",
    "    rf_predictions = rf_classifier.predict(test_data['embedding'].to_list())\n",
    "    evaluate(test_data['output'].to_list(), rf_predictions)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "L9yUJFFjdWbr"
   },
   "source": [
    "Now we can go ahead and input the same query we used above to generate a classification report."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "YXfhmiqzdWbr",
    "outputId": "576dd0ec-97c2-44fd-f8d0-14c474205863"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall f1 score: 0.8600723763570567\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.82      0.93      0.87       409\n",
      "           1       0.91      0.88      0.89        56\n",
      "           2       1.00      0.74      0.85        54\n",
      "           3       0.87      0.73      0.80        56\n",
      "           4       0.94      0.84      0.89        70\n",
      "           5       0.87      0.79      0.83        61\n",
      "           6       0.96      1.00      0.98        23\n",
      "           7       0.85      0.79      0.81        28\n",
      "           8       0.92      0.80      0.86        30\n",
      "           9       0.90      0.67      0.77        42\n",
      "\n",
      "    accuracy                           0.86       829\n",
      "   macro avg       0.90      0.82      0.85       829\n",
      "weighted avg       0.87      0.86      0.86       829\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "classify_and_evaluate(\"\"\"\n",
    "CALL gds.fastRP.stream(\n",
    "  \"twitch\",\n",
    "  {nodeLabels:['Stream'], relationshipTypes:['SHARED_AUDIENCE'],\n",
    "   relationshipWeightProperty:'score', embeddingDimension: 64}\n",
    ") YIELD nodeId, embedding\n",
    "WITH gds.util.asNode(nodeId) as node, nodeId, embedding\n",
    "RETURN nodeId, embedding, node.language as language, CASE WHEN node:Train then 'train' else 'test' END as split\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xfIpl400dWbr"
   },
   "source": [
    "Without any fine-tuning of the FastRP or Random Forest algorithms hyper-parameters, we get an f1 score of 86%. That is very awesome. It seems like our hypothesis that chatters usually chat in streams that share the same language is valid. We can observe that the model only misclassified between English and minor languages by examining the confusion matrix. For example, the model never wrongly classified Korean as Portugal language. This makes sense as English is the language of the internet, and so everybody can speak at least their native language and a bit of English.\n",
    "Now, we will try to optimize the FastRP algorithm hyper-parameters to achieve better accuracy.\n",
    "# Relationship weights\n",
    "I have used the relationship weights in the previous query as we have them available from the Node Similarity algorithm. We can input them with the relationshipWeightProperty parameter. After playing around with the settings, I have noticed that ignoring the relationship weight property produces better results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "O7Itm1Y1dWbr",
    "outputId": "99e3e190-f11f-4dad-8778-eb2e55316d88"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall f1 score: 0.887816646562123\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.86      0.92      0.89       409\n",
      "           1       0.93      0.89      0.91        56\n",
      "           2       0.98      0.81      0.89        54\n",
      "           3       0.88      0.75      0.81        56\n",
      "           4       0.92      0.93      0.92        70\n",
      "           5       0.91      0.84      0.87        61\n",
      "           6       0.96      1.00      0.98        23\n",
      "           7       0.80      0.86      0.83        28\n",
      "           8       0.93      0.83      0.88        30\n",
      "           9       0.92      0.86      0.89        42\n",
      "\n",
      "    accuracy                           0.89       829\n",
      "   macro avg       0.91      0.87      0.89       829\n",
      "weighted avg       0.89      0.89      0.89       829\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "classify_and_evaluate(\"\"\"\n",
    "CALL gds.fastRP.stream(\n",
    "  \"twitch\",\n",
    "  {nodeLabels:['Stream'], relationshipTypes:['SHARED_AUDIENCE'],embeddingDimension: 64}\n",
    ") YIELD nodeId, embedding\n",
    "WITH gds.util.asNode(nodeId) as node, nodeId, embedding\n",
    "RETURN nodeId, embedding, node.language as language, CASE WHEN node:Train then 'train' else 'test' END as split\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Nrf9vVjadWbs"
   },
   "source": [
    "Now, there is nothing that implies that ignoring relationship weights will always produce better results. You should test it on your dataset and compare the results to make the final decision.\n",
    "# Embedding dimension\n",
    "The embedding dimension hyper-parameter defines the size of the output vector or embedding. I have found some general guidelines in the documentation:\n",
    ">The optimal embedding dimension depends on the number of nodes in the graph. Since the amount of information the embedding can encode is limited by its dimension, a larger graph will tend to require a greater embedding dimension. A typical value is a power of two in the range 128–1024. A value of at least 256 gives good results on graphs in the order of 105 nodes, but in general increasing the dimension improves results. Increasing embedding dimension will however increase memory requirements and runtime linearly.\n",
    "\n",
    "Even though our graph is quite small with only 5000 streamers, I have decided to test results for different embedding dimension parameters. It seems that increasing the embedding dimension parameter to 512 yields better results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "MlZlJ_iXdWbs",
    "outputId": "07ee4b43-5e1e-42c7-c522-806dd9bd1374"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall f1 score: 0.893848009650181\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.87      0.92      0.90       409\n",
      "           1       0.92      0.86      0.89        56\n",
      "           2       0.98      0.81      0.89        54\n",
      "           3       0.88      0.80      0.84        56\n",
      "           4       0.92      0.93      0.92        70\n",
      "           5       0.93      0.82      0.87        61\n",
      "           6       0.96      1.00      0.98        23\n",
      "           7       0.81      0.89      0.85        28\n",
      "           8       0.93      0.87      0.90        30\n",
      "           9       0.93      0.90      0.92        42\n",
      "\n",
      "    accuracy                           0.89       829\n",
      "   macro avg       0.91      0.88      0.89       829\n",
      "weighted avg       0.90      0.89      0.89       829\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "classify_and_evaluate(\"\"\"\n",
    "CALL gds.fastRP.stream(\n",
    "  \"twitch\",\n",
    "  {nodeLabels:['Stream'], relationshipTypes:['SHARED_AUDIENCE'],\n",
    "   embeddingDimension: 512}\n",
    ") YIELD nodeId, embedding\n",
    "WITH gds.util.asNode(nodeId) as node, nodeId, embedding\n",
    "RETURN nodeId, embedding, node.language as language, CASE WHEN node:Train then 'train' else 'test' END as split\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "s3GTyWsldWbt"
   },
   "source": [
    "# Iteration Weights\n",
    "The next hyper-parameter we can tune is the iteration weight. The documentation states the following:\n",
    ">The iteration weights parameter control two aspects: the number of iterations, and their relative impact on the final node embedding. The parameter is a list of numbers, indicating one iteration per number where the number is the weight applied to that iteration.\n",
    "\n",
    "After playing around a bit with the iteration weights parameters, I have found that using the following value increases the accuracy even more."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "qufHY8MRdWbt",
    "outputId": "e9682923-73f3-4e5b-996e-b907b5c92416"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall f1 score: 0.902291917973462\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.89      0.91      0.90       409\n",
      "           1       0.93      0.89      0.91        56\n",
      "           2       0.98      0.87      0.92        54\n",
      "           3       0.87      0.82      0.84        56\n",
      "           4       0.91      0.97      0.94        70\n",
      "           5       0.91      0.84      0.87        61\n",
      "           6       0.96      1.00      0.98        23\n",
      "           7       0.81      0.89      0.85        28\n",
      "           8       0.90      0.87      0.88        30\n",
      "           9       0.93      0.90      0.92        42\n",
      "\n",
      "    accuracy                           0.90       829\n",
      "   macro avg       0.91      0.90      0.90       829\n",
      "weighted avg       0.90      0.90      0.90       829\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "classify_and_evaluate(\"\"\"\n",
    "CALL gds.fastRP.stream(\n",
    "  \"twitch\",\n",
    "  {nodeLabels:['Stream'], relationshipTypes:['SHARED_AUDIENCE'],\n",
    "   embeddingDimension: 512,\n",
    "   iterationWeights:[0.1, 0.5, 0.9, 1.0, 1.0]}\n",
    ") YIELD nodeId, embedding\n",
    "WITH gds.util.asNode(nodeId) as node, nodeId, embedding\n",
    "RETURN nodeId, embedding, node.language as language, CASE WHEN node:Train then 'train' else 'test' END as split\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sxZTzJi1dWbt"
   },
   "source": [
    "# Normalization Weight\n",
    "Another parameter that could be optimized is the normalization weight. Again the documentation states:\n",
    ">The normalization strength is used to control how node degrees influence the embedding. Using a negative value will downplay the importance of high degree neighbors, while a positive value will instead increase their importance. The optimal normalization strength depends on the graph and on the task that the embeddings will be used for.\n",
    "\n",
    "In our case, it doesn't make sense to try to optimize this parameter, as all the nodes should have exactly the same degree of 25. If you remember, we have used the Node Similarity algorithm with the topK value of 25, meaning that each node will be connected to its top 25 neighbors.\n",
    "# Using node properties\n",
    "The FastRP algorithm can be extended to also take into account node properties. I have noticed that if we add the followers count into consideration, the classification accuracy increases ever so slightly. Seems like the follower count might help to differentiate between English and other languages. My guess is that the English streamers have a higher count of followers, but that is just a hunch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "p3I_bG2xdWbu",
    "outputId": "6e492950-44f5-4201-d21f-99ce3f7ee797"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall f1 score: 0.9034981905910737\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.89      0.92      0.90       409\n",
      "           1       0.93      0.89      0.91        56\n",
      "           2       0.98      0.89      0.93        54\n",
      "           3       0.87      0.84      0.85        56\n",
      "           4       0.92      0.96      0.94        70\n",
      "           5       0.91      0.82      0.86        61\n",
      "           6       0.96      1.00      0.98        23\n",
      "           7       0.81      0.89      0.85        28\n",
      "           8       0.93      0.87      0.90        30\n",
      "           9       0.93      0.90      0.92        42\n",
      "\n",
      "    accuracy                           0.90       829\n",
      "   macro avg       0.91      0.90      0.90       829\n",
      "weighted avg       0.90      0.90      0.90       829\n",
      "\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "classify_and_evaluate(\"\"\"CALL gds.fastRP.stream(\n",
    "  \"twitch\",\n",
    "  {nodeLabels:['Stream'], relationshipTypes:['SHARED_AUDIENCE'],\n",
    "   embeddingDimension: 512, featureProperties: ['followers'],\n",
    "   iterationWeights:[0.1, 0.5, 0.9, 1.0, 1.0]}\n",
    ") YIELD nodeId, embedding\n",
    "WITH gds.util.asNode(nodeId) as node, nodeId, embedding\n",
    "RETURN nodeId, embedding, node.language as language, CASE WHEN node:Train then 'train' else 'test' END as split\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ey1jHtOSdWbu"
   },
   "source": [
    "# Conclusion\n",
    "We have managed to get a whopping 90% f1 score using only network features and nothing else. I think that this is very awesome and lends itself to solve other tasks, whereby looking at the relationship between data points might deliver very accurate results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "R0-23kfidWbu"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "name": "Twitch classification.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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